Security Scan Report: www.bcm.edu

Submitted: Jan 22, 2026, 3:36:59 PMCompleted: Jan 22, 2026, 3:38:29 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 93 HTTP transactions. The main domain is bcm.edu and was registered NaN years ago.

Submitted URL: https://www.bcm.edu

The Cisco Umbrella rank of the primary domain is #146,234 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official Baylor College of Medicine site; no security concerns detected.

Safety Factors
Established domain age
Brand consistency between meta tags and domain
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Low redirect count with final URL matching the original domain
Domain age information unavailable

Details

Page Title

Welcome to Baylor College of Medicine | BCM

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(85%)

Domain Information

The domain 'www.bcm.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www'. Count 3 characters in 'bcm' split between 0 vowels and 3 consonants. Word splitting yields two words: bc, m. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bcm.edu

Page Load Overview

1.10s
Total Load Time
96
HTTP Requests
15
Domains
4.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:9,619 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning85% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
85%
healthcare medical
81%
education
45%
adult content
43%
government public service
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18146.75.121.193Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13172.217.18.3United States
AS15169GOOGLE
13188.114.97.3Germany
13128.249.192.160Houston, Texas, United States
AS302BCM-INFO-NET-AS
13104.16.174.226United States
AS13335CLOUDFLARENET
13142.250.185.104United States
AS15169GOOGLE
13192.178.170.95United States
AS15169GOOGLE
967--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175049411A7F42037005351D22620B71DEB63D94BEA0A2D45F2FD076ABF8BE658D2772E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:X7cCi3IVUt/zrx8cspb6g+S8Aje8jVICtuc1SJpjD0qys:X7cCi3IVUt/8i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185331:kDALI5GGIATGPGRSEQEKwC2EgGACAoWmKQQAnMASUkECEsAwFgFCygJEQvXJVC0EHMaAgQXAJjBhFkIAL0EFjHtIoB4IEIBb

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffff898d7c7c6000
Perceptual Hash:cabaa5c09b3af843
Difference Hash:cea53939f9b5d529
Wavelet Hash:2fff890d7c7c6800
Color Hash:#5dac53

Scan History

Scan history not available

Unable to load historical scan data